Claude Opus 4.7 (April 2026) pricing: $5 per million input tokens, $25 per million output tokens—consistent across Claude Platform, Bedrock, Vertex AI, and Foundry.
Cost analysis for Zilliz Cloud RAG:
Typical usage patterns:
- Indexing: primarily input tokens (documents → embeddings)
- Retrieval: mix of input (queries) and output (responses)
- Agentic optimization: higher output tokens from multi-step reasoning
Cost optimization strategies:
- Task budgets – Set maximum spend per agentic RAG job, forcing efficiency
- Batch indexing – Lower cost-per-document for large-scale ingest
- Embedding caching – Reuse embeddings for similar documents
- Efficient prompting – Reduce output verbosity through careful prompt design
ROI consideration: While Opus 4.7 costs more per token than smaller models, autonomous Zilliz Cloud workflows complete faster with fewer human cycles, often resulting in lower total cost-per-outcome.
Example: Building a Zilliz RAG system. Opus 4.7 with task budgets completes autonomously; a cheaper model requires 5 cycles of manual tuning. Total Opus 4.7 spend is often lower despite per-token costs.
For Zilliz Cloud customers, budget your Opus 4.7 spend by estimating tokens per indexing/optimization task, then use task budgets to enforce cost discipline.
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